{"id":"W1940532203","doi":"10.1002/bult.2013.1720400105","title":"Selected ASIS&amp;T board members discuss research trends in information science: A summary","year":2013,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Creativity; Big data; Information science; Engineering ethics; Editorial board; Personal information management; Personally identifiable information; Computer science; Data science; Information system; Public relations; Knowledge management; Sociology; Library science; Psychology; Political science; Management information systems; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01147054,0.002285182,0.00147219,0.006745329,0.003017628,0.01284748,0.002086753,0.005891024,0.0434691],"category_scores_gemma":[0.01196252,0.0008966244,0.001344504,0.01102552,0.0007444914,0.004352746,0.002108456,0.005012483,0.02562044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003633167,"about_ca_system_score_gemma":0.007693663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004855187,"about_ca_topic_score_gemma":0.008883988,"domain_scores_codex":[0.9957312,0.0006251953,0.00060598,0.0004315145,0.002024083,0.0005820515],"domain_scores_gemma":[0.9761045,0.002293679,0.002239924,0.0003308205,0.01410858,0.00492239],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000483328,0.00003318217,0.0003782849,0.0006208597,0.00000657033,0.00005594984,0.0000582877,0.00004840951,0.0002000941,0.0002915069,0.9711863,0.02707224],"study_design_scores_gemma":[0.00001936678,0.00003852404,0.001837011,0.0008077011,0.00001856182,0.00003345425,0.0002841841,0.00007444189,0.0001149921,0.0002017443,0.9965551,0.00001499848],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001455967,0.1142778,0.001447943,0.2723025,0.5666525,0.0008351231,0.002362699,0.0003563127,0.04030916],"genre_scores_gemma":[0.009355871,0.2520664,0.002850398,0.06577093,0.461464,0.001346084,0.004061901,0.0004299639,0.2026544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9885294,"threshold_uncertainty_score":0.1454186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015521268984335,"score_gpt":0.3206878378050757,"score_spread":0.2805326251152324,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}